Federator.ai GPU Booster
AI solution to optimize GPU usage.
In the development process of AI applications, the learning phase requires a significant amount of GPU resources. To develop AI applications with higher accuracy in the future, it is necessary to handle an even larger volume of data, and the resources required for the learning time are enormous. Optimizing the utilization of a large number of GPU servers can be considered the most critical issue in AI application development. Federator.ai GPU Booster maximizes the efficiency of GPU utilization during the AI learning phase through its unique AI technology, solving many challenges.
basic information
■Product Features 【Predicting GPU Resource Allocation with Proprietary AI Technology】 Using GPU Booster's proprietary AI technology, we analyze the predicted resource requirements for AI/ML workloads. We employ a unique AI algorithm to analyze the optimal resource allocation and settings for GPU resources. 【Seamless Integration with Existing Kubernetes Environments】 For AI/ML workloads running on existing Kubernetes environments, we can automatically analyze the optimal resource allocation. 【Understanding GPU Resource Status through GUI Management】 Displays detailed status of GPU resources using a GUI table. Shows the utilization status of each core instance within the GPU components over time.
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Model number/Brand name
ProphetStor
Applications/Examples of results
■Usage Example 【Acceleration of AI Application Development】 Contributing to ESG through the efficiency of GPU resources during the learning phase of AI application development (reducing time and power consumption). By shortening the learning phase, it contributes to the expansion of customer businesses through the acceleration of AI application development.
Detailed information
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【GPU Resource Status Before Optimization】 The utilization status of GPU resources displayed by Federator.ai's visualization tool. Before applying the GPU Booster, the utilization rate of each GPU core of H100 x8 remains at an overall average of 36.2%.
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"Optimized GPU Utilization After Using GPU Booster" The utilization status of GPU resources displayed by Federator.ai's visualization tool. After applying GPU Booster, the utilization rate of each GPU core of H100 x8 increases to an overall average of 89.79%.
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Our company started its business in February 2005 with support services for medical information systems and has since been engaged in providing IT solutions as a system integrator. We cultivate open-minded individuals who can approach their work creatively, and it is these "people" who become the driving force behind our high-value-added services, allowing our clients to experience "passion," "flexibility," and "a sense of speed."